soumyachk101 /

Ensembyte

The open-source, local-first coding assistant and multi-agent IDE for macOS, Windows & Linux

A new way for AI to search for data
View on GitHub
4GitHub stars

Rust

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 64548b8817 (2026-10-17).

Selected work

Soumya Chakraborty
@soumyachk101

“add thinking shader orb, interactive test results, and reas…”. 8 files, 1,288 lines in Ensembyte-rust.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-17. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

aiai-agentclaudecode-reviewcodexcoding-assistantdesktop-appdeveloper-tools

Example questions

The prompt

Paste it into your AI agent. It clones soumyachk101/Ensembyte at the pinned commit and indexes it on your machine.

Search the GitHub repository soumyachk101/Ensembyte with XERJ (https://hub.xerj.org/corpus/soumyachk101--ensembyte).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/soumyachk101/Ensembyte Ensembyte && git -C Ensembyte checkout 64548b88172d5b09b95ad2593385638176636867
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Ensembyte --url http://127.0.0.1:9200 --prefix ensembyte --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

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Selected work and consent: the XERJ registry.